diff options
Diffstat (limited to 'src/backends/backendsCommon/test/layerTests/ActivationTestImpl.cpp')
| -rw-r--r-- | src/backends/backendsCommon/test/layerTests/ActivationTestImpl.cpp | 16 |
1 files changed, 13 insertions, 3 deletions
diff --git a/src/backends/backendsCommon/test/layerTests/ActivationTestImpl.cpp b/src/backends/backendsCommon/test/layerTests/ActivationTestImpl.cpp index a82048cd81..5be8c22648 100644 --- a/src/backends/backendsCommon/test/layerTests/ActivationTestImpl.cpp +++ b/src/backends/backendsCommon/test/layerTests/ActivationTestImpl.cpp @@ -1,5 +1,5 @@ // -// Copyright © 2017 Arm Ltd. All rights reserved. +// Copyright © 2017 Arm Ltd and Contributors. All rights reserved. // SPDX-License-Identifier: MIT // @@ -59,8 +59,10 @@ LayerTestResult<T, 4> BoundedReLuTestCommon( auto input = MakeTensor<T, 4>(inputTensorInfo, inputData); + ARMNN_NO_DEPRECATE_WARN_BEGIN std::unique_ptr<armnn::ITensorHandle> inputHandle = workloadFactory.CreateTensorHandle(inputTensorInfo); std::unique_ptr<armnn::ITensorHandle> outputHandle = workloadFactory.CreateTensorHandle(outputTensorInfo); + ARMNN_NO_DEPRECATE_WARN_END // Setup bounded ReLu. armnn::ActivationQueueDescriptor descriptor; @@ -255,8 +257,10 @@ boost::multi_array<float, 4> BoundedReLuRandomInputTest( // range [lowerBound, upperBound]. auto input = MakeRandomTensor<float, 4>(inputTensorInfo, 4605828, lowerBound - 5.0f, upperBound * 2.0f); + ARMNN_NO_DEPRECATE_WARN_BEGIN std::unique_ptr<armnn::ITensorHandle> inputHandle = workloadFactory.CreateTensorHandle(inputTensorInfo); std::unique_ptr<armnn::ITensorHandle> outputHandle = workloadFactory.CreateTensorHandle(outputTensorInfo); + ARMNN_NO_DEPRECATE_WARN_END // Set up bounded ReLu. armnn::ActivationQueueDescriptor descriptor; @@ -334,9 +338,10 @@ LayerTestResult<T,4> ConstantLinearActivationTestCommon( } LayerTestResult<T, 4> ret(outputTensorInfo); - + ARMNN_NO_DEPRECATE_WARN_BEGIN std::unique_ptr<armnn::ITensorHandle> inputHandle = workloadFactory.CreateTensorHandle(inputTensorInfo); std::unique_ptr<armnn::ITensorHandle> outputHandle = workloadFactory.CreateTensorHandle(outputTensorInfo); + ARMNN_NO_DEPRECATE_WARN_END // Do linear activation that should leave the tensor unchanged. armnn::ActivationQueueDescriptor data; @@ -429,8 +434,10 @@ LayerTestResult<T, 4> SimpleActivationTest( auto input = MakeTensor<T, 4>(inputTensorInfo, armnnUtils::QuantizedVector<T>(inputData, scale, offset)); + ARMNN_NO_DEPRECATE_WARN_BEGIN std::unique_ptr<armnn::ITensorHandle> inputHandle = workloadFactory.CreateTensorHandle(inputTensorInfo); std::unique_ptr<armnn::ITensorHandle> outputHandle = workloadFactory.CreateTensorHandle(outputTensorInfo); + ARMNN_NO_DEPRECATE_WARN_END // Setup bounded ReLu. armnn::ActivationQueueDescriptor descriptor; @@ -818,8 +825,10 @@ LayerTestResult<float, 5> SqrtNNTest( auto input = MakeTensor<float, 5>(inputTensorInfo, inputData); + ARMNN_NO_DEPRECATE_WARN_BEGIN std::unique_ptr<armnn::ITensorHandle> inputHandle = workloadFactory.CreateTensorHandle(inputTensorInfo); std::unique_ptr<armnn::ITensorHandle> outputHandle = workloadFactory.CreateTensorHandle(outputTensorInfo); + ARMNN_NO_DEPRECATE_WARN_END armnn::ActivationQueueDescriptor descriptor; armnn::WorkloadInfo workloadInfo; @@ -1191,12 +1200,13 @@ LayerTestResult<T,4> CompareActivationTestImpl( ret.output.resize(boostArrayExtents); ret.outputExpected.resize(boostArrayExtents); - + ARMNN_NO_DEPRECATE_WARN_BEGIN std::unique_ptr<armnn::ITensorHandle> inputHandle = workloadFactory.CreateTensorHandle(inputTensorInfo); std::unique_ptr<armnn::ITensorHandle> outputHandle = workloadFactory.CreateTensorHandle(outputTensorInfo); std::unique_ptr<armnn::ITensorHandle> inputHandleRef = refWorkloadFactory.CreateTensorHandle(inputTensorInfo); std::unique_ptr<armnn::ITensorHandle> outputHandleRef = refWorkloadFactory.CreateTensorHandle(outputTensorInfo); + ARMNN_NO_DEPRECATE_WARN_END armnn::ActivationQueueDescriptor data; armnn::WorkloadInfo info; |